Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Dirac delta and its derivatives

Definition

For a∈Ω, the Dirac distribution at a is the complex-linear functional δa(φ)=φ(a) on D(Ω), with the bilinear convention of Distribution. It is continuous: the seminorm q(φ)=∣φ(a)∣ restricts on each DK to a seminorm bounded by p0 (and is zero if a∉K), so it is one of the admissible seminorms defining the test topology.

Its derivatives are those of Distributional derivative: ⟨∂αδa,φ⟩=(−1)∣α∣∂αφ(a). They are distributions by that definition; on each fixed-support stage the absolute value is at most p∣α∣(φ). If a∉K all derivatives of the test vanish at a, so the bound has zero left side. For α=0 this is δa; a first derivative evaluates the negative first derivative of the test. No conjugation and no choice are involved. On the empty open set there is no permitted point a, rather than a new Dirac distribution. The sharp order of these distributions requires a test witness and is proved in the assigned example later.

Depends on

Dependency tree · 2 levels

Sources